Seamless navigation through combined results of set- & network-based enrichment analysis
Introduction | Reading expression data from file | Types of expression data | Microarray data | RNA-seq data | Normalization | Differential expression | ID mapping | Enrichment analysis | Obtaining gene sets | Set-based enrichment analysis | Guidelines for input and method selection | Result exploration | Network-based enrichment analysis | User-defined enrichment methods | Combining results | Putting it all together | Advanced: configuration parameters | For non-R users: command line invocation | A primer on terminology and statistical theory | Where does it all come from? | Gene sets, pathways & regulatory networks | Resources | Gene set analysis vs. gene set enrichment analysis | Underlying null: competitive vs. self-contained | Generations: ora, fcs & topology-based | Frequently asked questions | References